Henrik Karstoft
Papers
2
Total Citations
10
H-Index
2
About
Henrik Karstoft is a researcher specializing in sensor data fusion, 3D mapping, and robotic perception. His work focuses on enhancing the capabilities of low-cost RGB-D sensors—such as Microsoft Kinect and Asus Xtion Pro Live—by integrating them with laser ranging systems. Karstoft’s major contributions include developing a novel octree-based fusion approach that combines Kinect depth data with laser sensing to overcome the limitations of individual sensors, such as poor performance in bright light or over long distances. His 2012 paper on this method has garnered 5 citations, demonstrating its foundational role in the field. In subsequent work, he extended this framework to the Xtion Pro Live camera, proving its feasibility for Bayesian map building when paired with a Hokuyo laser scanner. This 2014 study, also with 5 citations, validated that affordable RGB-D cameras could be reliably used in autonomous mapping and navigation tasks. Karstoft’s research is notable for its practical, cost-effective approach to improving robotic perception, making advanced sensor fusion accessible for real-world applications in robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2Map Building Based on a Xtion Pro Live RGBD and a Laser Sensors5 citations · 2014